CN106021331A - A big data-based breast screening data analysis system and method - Google Patents
A big data-based breast screening data analysis system and method Download PDFInfo
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- CN106021331A CN106021331A CN201610298325.1A CN201610298325A CN106021331A CN 106021331 A CN106021331 A CN 106021331A CN 201610298325 A CN201610298325 A CN 201610298325A CN 106021331 A CN106021331 A CN 106021331A
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Abstract
The invention provides a big data-based breast screening data analysis system and method. The method comprises the steps of receiving breast screening result information; performing data cleaning, data conversion and data integration on the breast screening result information and storing the data in a data warehouse; receiving data statistical rules, analyzing the data in the data warehouse statistically according to the data statistical rules and acquiring statistical results; generating a statistical result report for the viewing of a user according to the statistical results. Based on big data, the system and the method can collect and process breast screening information data sent from different regions, convert the data into data that can be mined and generate statistical result reports for the viewing of users according to the data statistical rules, thereby enabling the users to master the breast screening condition of women of a district, a city and even a country and make overall prevention and treatment schemes for breast-related diseases.
Description
Technical field
The present invention relates to technical field of data processing, particularly relate to a kind of mammary gland examination number based on big data
According to analyzing system and method.
Background technology
Breast carcinoma is one of common Malignant mass of women, and the annual new cases in the whole world are more than 900,000 people.
At present, CR digitized mammary gland mammography (being called for short " breast molybdenum target inspection ") is Diagnosis of Breast
The first-selection of disease, be the most reliably, the most directly, the easiest non-invasive detection means, painful relatively small,
Simple and easy to do, and resolution is high, reproducible, the image left and taken is available for front and back contrasting, as conventional
Check.But existing mammary gland screening system does not carry out the function of automatic statistical analysis to colony patient,
Cause being difficult to grasp section, the mammary gland examination situation of a city even national women, no
It is beneficial to whole prevention and the treatment of mammary gland relevant disease.
Summary of the invention
Present invention is primarily targeted at offer a kind of mammary gland examination data analysis systems based on big data and
Method, it is intended to solve the function that colony patient is not automatically analyzed by existing mammary gland screening system,
Cause being difficult to grasp section, the mammary gland examination situation of a city even national women, no
It is beneficial to whole prevention and the problem for the treatment of of mammary gland relevant disease.
For achieving the above object, the invention provides a kind of mammary gland of based on big data examination data analysis system
System.
Described mammary gland examination data analysis system based on big data runs in server, and this system includes
Data collection module, data warehouse set up module, data processing module and result-generation module, wherein:
Described data collection module is used for receiving mammary gland screening results information；
Described data warehouse sets up module for described mammary gland screening results information is carried out data scrubbing, number
According to conversion and data integration, and it is stored in data warehouse；
Described data processing module is used for receiving data statistics rule, and right according to described data statistics rule
Data in described data warehouse are added up, and obtain statistical result；
Described result-generation module is looked into for user for generating statistical result report according to described statistical result
See.
Preferably, described data warehouse is set up module and is included data scrubbing submodule, data transformation submodule
And data integration submodule, wherein:
Described data scrubbing submodule is for the structuring received, breast semi-structured, non-structured
Gland screening results information carries out data scrubbing, including removing redundant data, filling up missing value data and removing
Abnormal data；
Semi-structured and unstructured data are turned by described data transformation submodule for the attribute according to data
Change structural data into；
Described data integration submodule is for being integrated in data bins by the structural data after data convert
In storehouse.
Preferably, described mammary gland screening results information is sent by the mammary gland examination information system of different regions.
Preferably, described mammary gland screening results information at least includes the mammary gland sieve of patient basis and patient
Look into diagnostic result information.
Preferably, described result-generation module generates statistical result template according to described data statistics rule,
And be filled in described statistical result template to generate statistical result report by described statistical result.
Present invention also offers a kind of mammary gland examination data analysing method based on big data, be applied to service
In device.
Described mammary gland examination data analysing method based on big data comprises the steps:
Receive mammary gland screening results information；
Described mammary gland screening results information is carried out data scrubbing, data conversion and data integration, and stores
In data warehouse；
Reception data statistics rule, and according to described data statistics rule to the data in described data warehouse
Carry out statistics and obtain statistical result；
Generate statistical result report according to described statistical result to check for user.
Preferably, described described mammary gland screening results information is carried out data scrubbing, data conversion and data
Integrated, and the step being stored in data warehouse includes:
The structuring received, mammary gland screening results information semi-structured, non-structured are carried out data
Cleaning, including removing redundant data, filling up missing value data and remove abnormal data；
Semi-structured and unstructured data are converted into structural data by the attribute according to data；
By the data integration after data convert in data warehouse.
Preferably, described mammary gland screening results information is sent by the mammary gland examination information system of different regions.
Preferably, described mammary gland screening results information at least includes the mammary gland sieve of patient basis and patient
Look into diagnostic result information.
Preferably, generate statistical result according to described statistical result and report that the step checked for user includes
Following steps:
Statistical result template is generated according to described data statistics rule；
It is filled into described statistical result in described statistical result template to generate statistical result report.
Compared to prior art, the mammary gland examination data analysis systems based on big data that the present invention provides with
Based on big data, be collected the data of the mammary gland examination information that different regions send, optimization processes
To be converted into the data that can excavate, and generate statistical result report for user according to data statistics rule
Check, facilitate user to understand section, city even the mammary gland examination of a national women
Situation, makes whole prevention and the therapeutic scheme of mammary gland relevant disease in time.
Accompanying drawing explanation
Fig. 1 is present invention mammary gland based on big data examination data analysis system running environment preferred embodiment
High-level schematic functional block diagram；
Fig. 2 is that in present invention mammary gland based on big data examination data analysis system, data warehouse sets up module
Submodule functional schematic；
Fig. 3 is that the flow process of present invention mammary gland based on big data examination data analysing method preferred embodiment is shown
It is intended to.
Detailed description of the invention
By further illustrating the technological means and effect that the present invention taked by reaching above-mentioned purpose, below
In conjunction with accompanying drawing and preferred embodiment, detailed description of the invention, structure, feature and effect thereof of the present invention is entered
Row describes in detail.Should be appreciated that specific embodiment described herein only in order to explain the present invention, and
It is not used in the restriction present invention.
For realizing the object of the invention, the invention provides a kind of mammary gland examination data analysis based on big data
System.
With reference to shown in Fig. 1, Fig. 1 is that present invention mammary gland based on big data examination data analysis system runs
The high-level schematic functional block diagram of environment preferred embodiment.
In the present embodiment, mammary gland examination data analysis systems 10 based on big data run on server 1
In.Described server 1 includes mammary gland examination data analysis system 10 based on big data, also includes storage
Unit 12, processing unit 14 and communication unit 16.
Described memory element 12 can be a kind of read-only memory unit ROM, electrically-erasable memory element
EEPROM, flash memory cell FLASH or solid hard disk etc..Described processing unit 14 can be
At a kind of central processing unit (Central Processing Unit, CPU), microcontroller (MCU), data
Manage chip or there is the information process unit of data processing function.Described communication unit 16 is a kind of tool
Have wireless communication interface or a wireline interface of remote communicating function, such as, support GSM, GPRS,
The mechanicss of communication such as WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE
Wirelessly or non-wirelessly communication interface.
Described mammary gland examination data analysis system 10 based on big data includes data collection module 101, number
According to Warehouse Establishing module 102, data processing module 103 and result-generation module 104.Alleged by the present invention
Module refer to a kind of to be performed and can complete a series of of fixing function by described processing unit 14
Computer program instructions section, it is stored in memory element 12.
Described data collection module 101 is used for receiving mammary gland screening results information.
Described mammary gland screening results information is periodically or non-periodically sent out by the mammary gland examination information system of different regions
Deliver in these mammary gland examination data analysis systems 10 based on big data.Described mammary gland screening results information bag
Including patient basis, described patient basis includes but are not limited to, name, the age, sex,
Region (includes but not limited to country, province, city, district).Described mammary gland screening results information also includes
The mammary gland sieving and diagnosis object information of patient.The most described mammary gland screening results information at least includes that patient is basic
The mammary gland sieving and diagnosis object information of information and patient.
Described data warehouse set up module 102 for described mammary gland screening results information is carried out data scrubbing,
Data conversion and data integration, and be stored in data warehouse.
Specifically, number it is illustrated in figure 2 in present invention mammary gland based on big data examination data analysis system
Submodule functional schematic according to Warehouse Establishing module.Described data warehouse is set up module 102 and is included data
Cleaning submodule 1021, data transformation submodule 1022 and data integration submodule 1023.
Described data scrubbing submodule 1021 is for the structuring received, semi-structured, destructuring
Mammary gland screening results information carry out data scrubbing, including remove redundant data, fill up missing value data and
Remove abnormal data.The such as mammary gland screening results information for the patient in same region is set up with region
Index for key word removes redundant data, to guarantee the requirement of real-time of data handling procedure；For not having
The data having gender information carry out filling up default value, to guarantee the accuracy of data statistics result；For year
Age, the data in preset range (such as 15 years old～65 years old) did not carried out abnormal removing, to guarantee to analyze knot
Fruit is within controlled range.
Described data transformation submodule 1022 is used for the attribute according to data by semi-structured and destructuring number
According to being converted into structural data.Such as according to the sex of patient, region, age, diagnostic result information etc.
Divide, the unstructured data that attribute is identical is carried out structuring process.
Described data integration submodule 1023 is for being integrated in number by the structural data after data convert
According in warehouse.Specifically, by the classification storage of said structure data and data warehouse, at data
Data are quickly processed by reason module 103.
Described data processing module 103 is used for receiving data statistics rule, and advises according to described data statistics
Then the data in described data warehouse are carried out statistics and obtain statistical result.Described data statistics rule is by making
User inputs as required to mammary gland examination data analysis systems 10 based on big data, such as, if making
User needs to add up Shenzhen area and presets the mammary gland screening results situation of age bracket, and the most described data statistics is advised
Then for filtering out area for Shenzhen and age patient populations between default age bracket.
Described result-generation module 104 for according to described statistical result generate statistical result report for
Person checks.Specifically, described result-generation module 104 can shift to an earlier date according to described data statistics rule raw
Become statistical result template, further according to statistical result, data are filled in described statistical result template, generate
Statistical result report is checked for user, facilitates user to understand even one, a section, city
The mammary gland examination situation of the women of country, makes whole prevention and the therapeutic scheme of mammary gland relevant disease in time.
The mammary gland examination data analysis systems based on big data that the present invention provides are based on big data, right
The data of the mammary gland examination information that different regions send are collected, optimize to process and can excavate to be converted into
Data, and generate statistical result report according to data statistics rule and check for user, facilitate user
Understand a section, the mammary gland examination situation of a city even national women, make breast in time
The whole prevention of gland relevant disease and therapeutic scheme.
Another aspect of the present invention, it is provided that a kind of and above-mentioned mammary gland examination data based on big data
The method that analysis system is corresponding.
With reference to shown in Fig. 3, Fig. 3 is that present invention mammary gland based on big data examination data analysing method is preferable
The schematic flow sheet of embodiment.
In the present embodiment, shown in Fig. 1, Fig. 2 and Fig. 3, described mammary gland examinations based on big data
Data analysing method runs in server 1, comprises the steps:
S10: data collection module 101 receives mammary gland screening results information；
Specifically, described mammary gland screening results information by the mammary gland examination information system of different regions periodically or
Irregularly send to being somebody's turn to do in mammary gland examination data analysis systems based on big data.Described mammary gland screening results
Information includes that patient basis, described patient basis include but are not limited to, name, the age,
Sex, region (including but not limited to country, province, city, district).Described mammary gland screening results information
Also include the mammary gland sieving and diagnosis object information of patient.The most described mammary gland screening results information at least includes suffering from
The mammary gland sieving and diagnosis object information of person's essential information and patient.
S20: data warehouse is set up module 102 and described mammary gland screening results information is carried out data scrubbing, number
According to conversion and data integration, and it is stored in data warehouse.
Specifically, described step S20 includes following refinement step:
Step 1: the data scrubbing submodule 1021 structuring to receiving, semi-structured, destructuring
Mammary gland screening results information carry out data scrubbing, including remove redundant data, fill up missing value data and
Remove abnormal data.The such as mammary gland screening results information for the patient in same region is set up with region
Index for key word removes redundant data, to guarantee the requirement of real-time of data handling procedure；For not having
The data having gender information carry out filling up default value, to guarantee the accuracy of data statistics result；For year
Age, the data in preset range (such as 15 years old～65 years old) did not carried out abnormal removing, to guarantee to analyze knot
Fruit is within controlled range.
Step 2: data transformation submodule 1022 according to the attribute of data by semi-structured and destructuring number
According to being converted into formatting data.Such as according to the sex of patient, region, age, diagnostic result information etc.
Divide, the unstructured data that attribute is identical is carried out structuring process.
Step 3: the structural data after data convert is integrated in number by data integration submodule 1023
According in warehouse.Specifically, the data after said structure are classified in storage and data warehouse, for number
According to processing module 103, data are quickly processed.
S30: data processing module 103 receives data statistics rule, and right according to described data statistics rule
Data in described data warehouse carry out statistics and obtain statistical result.
Described data statistics rule is inputted to mammary gland examination data based on big data as required by user
In analysis system, such as, if user needs to add up Shenzhen area presets the mammary gland screening results of age bracket
Situation, the most described data statistics rule is to filter out area for Shenzhen and age between default age bracket
Patient populations.
S40: result-generation module 104 generates statistical result report according to described statistical result and looks into for user
See.
Specifically, can shift to an earlier date and generate statistical result template according to described data statistics rule, further according to system
Data are filled in described statistical result template by meter result, generate statistical result report and check for user,
User is facilitated to understand section, the mammary gland examination situation of a city even national women,
Make whole prevention and the therapeutic scheme of mammary gland relevant disease in time.
The mammary gland examination data analysis systems based on big data that the present invention provides are based on big data, right
The data of the mammary gland examination information that different regions send are collected, optimize to process and can excavate to be converted into
Data, and generate statistical result report according to data statistics rule and check for user, facilitate user
Understand a section, the mammary gland examination situation of a city even national women, make breast in time
The whole prevention of gland relevant disease and therapeutic scheme.
These are only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention, every
Utilize equivalent structure or equivalent function conversion that description of the invention and accompanying drawing content made, or directly or
Connect and be used in other relevant technical fields, be the most in like manner included in the scope of patent protection of the present invention.
Claims (10)
1. a mammary gland examination data analysis system based on big data, it is characterised in that described based on greatly
The mammary gland examination data analysis system of data runs in server, this system include data collection module,
Data warehouse sets up module, data processing module and result-generation module, wherein:
Described data collection module is used for receiving mammary gland screening results information；
Described data warehouse sets up module for described mammary gland screening results information is carried out data scrubbing, number
According to conversion and data integration, and it is stored in data warehouse；
Described data processing module is used for receiving data statistics rule, and right according to described data statistics rule
Data in described data warehouse carry out statistics and obtain statistical result；
Described result-generation module is looked into for user for generating statistical result report according to described statistical result
See.
2. mammary gland examination data analysis systems based on big data as claimed in claim 1, its feature exists
In, described data warehouse is set up module and is included data scrubbing submodule, data transformation submodule and data
Integrated submodule, wherein:
Described data scrubbing submodule is for the structuring received, breast semi-structured, non-structured
Gland screening results information carries out data scrubbing, including removing redundant data, filling up missing value data and removing
Abnormal data；
Semi-structured and unstructured data are turned by described data transformation submodule for the attribute according to data
Change structural data into；
Described data integration submodule is for being integrated in data bins by the structural data after data convert
In storehouse.
3. mammary gland examination data analysis systems based on big data as claimed in claim 2, its feature exists
In, described mammary gland screening results information is sent by the mammary gland examination information system of different regions.
4. mammary gland examination data analysis systems based on big data as claimed in claim 2, its feature exists
In, described mammary gland screening results information at least includes the mammary gland sieving and diagnosis knot of patient basis and patient
Really information.
5. mammary gland examination data analysis systems based on big data as claimed in claim 1, its feature exists
In, described result-generation module generates statistical result template according to described data statistics rule, and by institute
State statistical result to be filled in described statistical result template to generate statistical result report.
6. mammary gland examination data analysing methods based on big data, are applied in server, its feature
Being, described mammary gland examination data analysing methods based on big data comprise the steps:
Receive mammary gland screening results information；
Described mammary gland screening results information is carried out data scrubbing, data conversion and data integration, and stores
In data warehouse；
Reception data statistics rule, and according to described data statistics rule to the data in described data warehouse
Carry out statistics and obtain statistical result；
Generate statistical result report according to described statistical result to check for user.
7. mammary gland examination data analysing methods based on big data as claimed in claim 6, its feature exists
In, described described mammary gland screening results information is carried out data scrubbing, data conversion and data integration, and
The step being stored in data warehouse includes:
The structuring received, mammary gland screening results information semi-structured, non-structured are carried out data
Cleaning, including removing redundant data, filling up missing value data and remove abnormal data；
Semi-structured and unstructured data are converted into structural data by the attribute according to data；
Structural data after data convert is integrated in data warehouse.
8. mammary gland examination data analysing methods based on big data as claimed in claim 7, its feature exists
In, described mammary gland screening results information is sent by the mammary gland examination information system of different regions.
9. mammary gland examination data analysing methods based on big data as claimed in claim 7, its feature exists
In, described mammary gland screening results information at least includes the mammary gland sieving and diagnosis knot of patient basis and patient
Really information.
10. mammary gland examination data analysing methods based on big data as claimed in claim 6, its feature
Be, described according to described statistical result generate the step that statistical result report checks for user include as
Lower step:
Statistical result template is generated according to described data statistics rule；
It is filled into described statistical result in described statistical result template to generate statistical result report.
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| CN201610298325.1A CN106021331A (en) | 2016-05-07 | 2016-05-07 | A big data-based breast screening data analysis system and method |
| PCT/CN2016/109734 WO2017193579A1 (en) | 2016-05-07 | 2016-12-13 | Big data analysis system and method for mammary gland screening data |
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| CN201610298325.1A CN106021331A (en) | 2016-05-07 | 2016-05-07 | A big data-based breast screening data analysis system and method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017193579A1 (en) * | 2016-05-07 | 2017-11-16 | 深圳市前海安测信息技术有限公司 | Big data analysis system and method for mammary gland screening data |
| CN110851486A (en) * | 2018-07-26 | 2020-02-28 | 珠海格力电器股份有限公司 | Data storage method and device |
| CN112420204A (en) * | 2020-11-03 | 2021-02-26 | 重庆医科大学 | Breast cancer screening scheme recommendation system and recommendation method |
| CN113593667A (en) * | 2021-08-10 | 2021-11-02 | 无锡市妇幼保健院 | Community two-cancer screening health management method and system |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007264890A (en) * | 2006-03-28 | 2007-10-11 | Murata Mach Ltd | Simulation system |
| CN101986333A (en) * | 2010-12-01 | 2011-03-16 | 福州维胜信息技术有限公司 | Auxiliary decision supporting system of hospital |
| CN105243277A (en) * | 2015-10-10 | 2016-01-13 | 平凡 | Computer-aided medical data processing system and method |
| CN106021331A (en) * | 2016-05-07 | 2016-10-12 | 深圳市前海安测信息技术有限公司 | A big data-based breast screening data analysis system and method |
-
2016
- 2016-05-07 CN CN201610298325.1A patent/CN106021331A/en active Pending
- 2016-12-13 WO PCT/CN2016/109734 patent/WO2017193579A1/en active Application Filing
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017193579A1 (en) * | 2016-05-07 | 2017-11-16 | 深圳市前海安测信息技术有限公司 | Big data analysis system and method for mammary gland screening data |
| CN110851486A (en) * | 2018-07-26 | 2020-02-28 | 珠海格力电器股份有限公司 | Data storage method and device |
| CN112420204A (en) * | 2020-11-03 | 2021-02-26 | 重庆医科大学 | Breast cancer screening scheme recommendation system and recommendation method |
| CN112420204B (en) * | 2020-11-03 | 2023-10-20 | 重庆医科大学 | Recommendation system and recommendation method for breast cancer screening scheme |
| CN113593667A (en) * | 2021-08-10 | 2021-11-02 | 无锡市妇幼保健院 | Community two-cancer screening health management method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017193579A1 (en) | 2017-11-16 |
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Application publication date: 20161012 |